contaminate: Simulate the impact of contamination on a radiocarbon age

In Maarten14C/IntCal: Radiocarbon Calibration Curves

Simulate the impact of contamination on a radiocarbon age

Description

Given a certain radiocarbon age, calculate the observed impact of contamination with a ratio of material with a different 14C content (for example, 1

Usage

contaminate(y, sdev = c(), fraction, F14C, F14C.er = 0, decimals = 5)

Arguments

y	the true radiocarbon age
sdev	the error of the true radiocarbon age
fraction	Relative amount of contamination. Must be between 0 and 1
F14C	the F14C of the contamination. Set at 1 for carbon of modern radiocarbon age, at 0 for 14C-free carbon, or anywhere inbetween.
F14C.er	error of the contamination. Defaults to 0.
decimals	Rounding of the output. Since details matter here, the default is to provide 5 decimals.

Value

The observed radiocarbon age and error

Author(s)

Maarten Blaauw

Examples

contaminate(5000, 20, .01, 1) # 1% contamination with modern carbon
# Impacts of different amounts of contamination with modern carbon:
real.14C <- seq(0, 50e3, length=200)
contam <- seq(0, .1, length=101) # 0 to 10% contamination
contam.col <- rainbow(length(contam))
plot(0, type="n", xlim=c(0, 55e3), 
  xlab="real", ylim=range(real.14C), ylab="observed")
for(i in 1:length(contam))
  lines(real.14C, contaminate(real.14C, c(), contam[i], 1, decimals=5), col=contam.col[i])
contam.legend <- seq(0, .1, length=6)
contam.col <- rainbow(length(contam.legend))
text(52e3, contaminate(50e3, c(), contam.legend, 1), labels=contam.legend, col=contam.col, cex=.7)

Maarten14C/IntCal documentation built on Oct. 11, 2023, 1:25 a.m.